ROSE-BOX: A Lightweight and Efficient Intrusion Detection Framework for Resource-Constrained IIoT Environments by Silin Peng, Yu Han, Ruonan Li, Lichen Liu, Jie Liu, Zhaoquan Gu

“…Firstly, an XGBoost-assisted Random Forest (XGB-RF) method is proposed to select the most important features to obtain an optimal feature subset. …”
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GNSTAM: Integrating Graph Networks With Spatial and Temporal Signature Analysis for Enhanced Android Malware Detection by Yogesh Kumar Sharma, Deepak Singh Tomar, R. K. Pateriya, Surendra Solanki

“…The sophistication of Android malware poses significant threats to user security and privacy. Traditional detection methods struggle with rapid malware evolution and benign application diversity, leading to high false positive rates and limited adaptability. …”
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A Lightweight Algorithm for Detection and Grading of Olive Ripeness Based on Improved YOLOv11n by Fengwu Zhu, Suyu Wang, Min Liu, Weijie Wang, Weizhi Feng

“…Traditional detection methods are constrained by susceptibility to environmental interference, limited robustness, and inadequate generalization capabilities. …”
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Infrared Small Target Detection Based on Double Gray-Values Descend Angle Contrast Measure by Song Guan, Dali Zhou, Xiaodong Wang, Pengji Zhou

“…In scenarios involving small infrared target detection against complex backgrounds, existing methods face substantial challenges in achieving an optimal balance between superior detection capability and real-time performance. …”
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Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection by Filip Postepski, Grzegorz M. Wojcik, Krzysztof Wrobel, Andrzej Kawiak, Katarzyna Zemla, Grzegorz Sedek

“…The research reported herein aimed at verification whether it is possible to detect differences between those two states and to classify them using deep learning methods and recurrent neural networks such as EEGNet, Long Short-Term Memory-based classifier, 1D Convolutional Neural Network and hybrid model of 1D Convolutional Neural Network and Long Short-Term Memory. …”
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UiO-66 Selective Enrichment Integrated with Thermal Desorption GC-MS for Detection of Benzene Homologues in Ambient Air by Xing-Tao Lin, Ge Sun, Jing-Qiang Zhao, Ling-Li Tang, Sheng-Hua Li, Ya-Bo Xie

“…It exhibited a good linearity (R2 > 0.99) in the range of 50–1000 ng, except for p, m-xylene in the range of 100–2000 ng, and achieved the recovery of 69.4–101.3%, and the relative standard deviation of 3.8–6.4%. The detection limits of BTX were 1.6–4.0 ng; according to 10 L of sampling volume, the method detection limits would be in the range of 0.16–0.40 µg m−3. …”
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Detection of Psychomotor Retardation in Youth Depression: A Machine Learning Approach to Kinematic Analysis of Handwriting by Vladimir Džepina, Nikola Ivančević, Sunčica Rosić, Blažo Nikolić, Dejan Stevanović, Jasna Jančić, Milica M. Janković

“…This study proposes a novel machine learning framework leveraging kinematic handwriting analysis to enhance the detection of psychomotor disturbances indicative of psychomotor retardation in youths with depression. …”
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A Hybrid STL-Deep Learning Framework for Behavioral-Based Intrusion Detection in IoT Environments by Abdullah AlHayan, Jalal Al-Muhtadi

“…Traditional methods and standalone deep learning models often struggle to achieve an optimal balance between these requirements. …”
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Study on the Influencing Factors of Direct Current Dipole Array for Tunnel Advance Detection and Its Application by Xiaozhen Teng, Jianhua Yue, Shuanggui Hu, Chao Sun, Kailiang Lu, Herui Zhang, Danyang Xi

“…The direct current resistivity method is a primary technique for detecting water-bearing structures ahead of tunnel and coal mine excavation faces. …”
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Impact of Phenological and Lighting Conditions on Early Detection of Grapevine Inflorescences and Bunches Using Deep Learning by Rubén Íñiguez, Carlos Poblete-Echeverría, Ignacio Barrio, Inés Hernández, Salvador Gutiérrez, Eduardo Martínez-Cámara, Javier Tardáguila

“…These findings define optimal scenarios for early-stage organ detection and support the integration of automated detection models into vineyard management systems. …”
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Application of GYPC gene methylation detection in cervical cancer screening for HR-HPV-positive women by LUO Haijun, LIAN Yixiang, WANG Zhigan, JIANG Shali

“…To ensure that the sensitivity of GYPCm detection for CIN3+ was not inferior to cytological testing, the optimal cutoff value was determined to be ΔCp = 15.975. …”
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An FPGA Prototype for Parkinson’s Disease Detection Using Machine Learning on Voice Signal by Mujeev Khan, Abdul Moiz, Gani Nawaz Khan, Mohd Wajid, Mohammed Usman, Jabir Ali

“…This paper proposes an efficient machine learning model for PD detection using voice-based features, which offer a non-invasive, cost-effective, and accessible alternative to complex imaging methods. …”
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Comparing sputum, nasopharyngeal swabs, and combined samples for respiratory bacterial detection using multiplex PCR by Keun Ju Kim, Seung Gyu Yun, Myung-Hyun Nam, Chang Kyu Lee, Yunjung Cho

“…However, the optimal specimen selection for detecting bacterial pathogens is not well-explored. …”
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Review of Image Processing Methods for Surface and Tool Condition Assessments in Machining by Ali Ercetin, Oguzhan Der, Fatih Akkoyun, Manjunath Patel Gowdru Chandrashekarappa, Ramazan Şener, Mücahit Çalışan, Nevzat Olgun, Ganesh Chate, Kurki Nagaraja Bharath

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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…In healthcare, real-time action recognition enhances patient care, detects potential falls, and assists elderly individuals. …”
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Study on the Optimization of <i>b</i>-Value for Analyzing Weld Defects in the Primary System by Do-Yun Jung, Young-Chul Choi, Byun-Young Chung

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Optimization of Residual Hexane in Edible Oils Analysis Using Static Headspace Gas Chromatography by Azrul Hisyam Samsuri, May Yen Ang, Shean Yeaw Ng

“…Incubation time for each injection was successfully optimized from one hour to 30 minutes (50% reduction) compared to the official AOCS method Ca 3b-87. …”
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Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors by Vatsala Anand, Ajay Khajuria, Rupendra Kumar Pachauri, Vinay Gupta

“…These models were also trained using two types of optimizers, called Adam and SGD. SVM did better when using the Adam method. …”
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Secure ISAC MIMO systems: exploiting interference with Bayesian Cramér–Rao bound optimization by Nanchi Su, Fan Liu, Christos Masouros, George C. Alexandropoulos, Yifeng Xiong, Qinyu Zhang

“…Abstract In this paper, we present a signaling design for secure integrated sensing and communication (ISAC) systems comprising a dual-functional multi-input multi-output base station that simultaneously communicates with multiple users while detecting targets present in their vicinity, which are regarded as potential eavesdroppers. …”
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Optimizing adult-oriented artificial intelligence for pediatric chest radiographs by adjusting operating points by Hyun Joo Shin, Kyunghwa Han, Nak-Hoon Son, Eun-Kyung Kim, Min Jung Kim, Sergios Gatidis, Shreyas Vasanawala

“…A pediatric radiologist reviewed the radiographs to establish ground truth for lesion presence. To determine the optimal operating points, receiver operating characteristic (ROC) curve analysis was conducted, varying thresholds to balance sensitivity and specificity by lesion type, age group, and imaging method. …”
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